Lindell, David B.

26 publications

ICLR 2026 Lyra: Generative 3D Scene Reconstruction via Video Diffusion Model Self-Distillation Sherwin Bahmani, Tianchang Shen, Jiawei Ren, Jiahui Huang, Yifeng Jiang, Haithem Turki, Andrea Tagliasacchi, David B. Lindell, Zan Gojcic, Sanja Fidler, Huan Ling, Jun Gao, Xuanchi Ren

CVPR 2025 AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformers Sherwin Bahmani, Ivan Skorokhodov, Guocheng Qian, Aliaksandr Siarohin, Willi Menapace, Andrea Tagliasacchi, David B. Lindell, Sergey Tulyakov

CVPR 2025 CAP4D: Creating Animatable 4D Portrait Avatars with Morphable Multi-View Diffusion Models Felix Taubner, Ruihang Zhang, Mathieu Tuli, David B. Lindell

AAAI 2025 Efficient Neural Network Encoding for 3D Color Lookup Tables Vahid Zehtab, David B. Lindell, Marcus A. Brubaker, Michael S. Brown

CVPR 2025 Neural Inverse Rendering from Propagating Light Anagh Malik, Benjamin Attal, Andrew Xie, Matthew O'Toole, David B. Lindell

CVPR 2025 Opportunistic Single-Photon Time of Flight Sotiris Nousias, Mian Wei, Howard Xiao, Maxx Wu, Shahmeer Athar, Kevin J. Wang, Anagh Malik, David A. Barmherzig, David B. Lindell, Kyros N. Kutulakos

NeurIPS 2025 Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery Shayan Shekarforoush, David B. Lindell, Marcus A Brubaker, David J. Fleet

ICLR 2025 SG-I2V: Self-Guided Trajectory Control in Image-to-Video Generation Koichi Namekata, Sherwin Bahmani, Ziyi Wu, Yash Kant, Igor Gilitschenski, David B. Lindell

WACV 2025 Transientangelo: Few-Viewpoint Surface Reconstruction Using Single-Photon LiDAR Weihan Luo, Anagh Malik, David B Lindell

ICLR 2025 VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control Sherwin Bahmani, Ivan Skorokhodov, Aliaksandr Siarohin, Willi Menapace, Guocheng Qian, Michael Vasilkovsky, Hsin-Ying Lee, Chaoyang Wang, Jiaxu Zou, Andrea Tagliasacchi, David B. Lindell, Sergey Tulyakov

CVPR 2024 4D-Fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling Sherwin Bahmani, Ivan Skorokhodov, Victor Rong, Gordon Wetzstein, Leonidas Guibas, Peter Wonka, Sergey Tulyakov, Jeong Joon Park, Andrea Tagliasacchi, David B. Lindell

NeurIPS 2024 CryoSPIN: Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference Shayan Shekarforoush, David B. Lindell, Marcus A. Brubaker, David J. Fleet

ECCV 2024 Flying with Photons: Rendering Novel Views of Propagating Light Anagh Malik, Noah Juravsky, Ryan Po, Gordon Wetzstein, Kiriakos N. Kutulakos, David B. Lindell

CVPR 2024 SCE-MAE: Selective Correspondence Enhancement with Masked Autoencoder for Self-Supervised Landmark Estimation Kejia Yin, Varshanth Rao, Ruowei Jiang, Xudong Liu, Parham Aarabi, David B. Lindell

ECCV 2024 TC4D: Trajectory-Conditioned Text-to-4D Generation Sherwin Bahmani, Xian Liu, Wang Yifan, Ivan Skorokhodov, Victor Rong, Ziwei Liu, Xihui Liu, Jeong Joon Park, Sergey Tulyakov, Gordon Wetzstein, Andrea Tagliasacchi, David B Lindell

CVPR 2024 TurboSL: Dense Accurate and Fast 3D by Neural Inverse Structured Light Parsa Mirdehghan, Maxx Wu, Wenzheng Chen, David B. Lindell, Kiriakos N. Kutulakos

ICCV 2023 Passive Ultra-Wideband Single-Photon Imaging Mian Wei, Sotiris Nousias, Rahul Gulve, David B. Lindell, Kiriakos N. Kutulakos

CVPR 2023 SparsePose: Sparse-View Camera Pose Regression and Refinement Samarth Sinha, Jason Y. Zhang, Andrea Tagliasacchi, Igor Gilitschenski, David B. Lindell

CVPR 2022 BACON: Band-Limited Coordinate Networks for Multiscale Scene Representation David B. Lindell, Dave Van Veen, Jeong Joon Park, Gordon Wetzstein

ICML 2022 Learning to Solve PDE-Constrained Inverse Problems with Graph Networks Qingqing Zhao, David B Lindell, Gordon Wetzstein

ICMLW 2022 Learning to Solve PDE-Constrained Inverse Problems with Graph Networks Qingqing Zhao, David B. Lindell, Gordon Wetzstein

CVPR 2021 AutoInt: Automatic Integration for Fast Neural Volume Rendering David B. Lindell, Julien N. P. Martel, Gordon Wetzstein

ECCV 2020 Disambiguating Monocular Depth Estimation with a Single Transient Mark Nishimura, David B. Lindell, Christopher Metzler, Gordon Wetzstein

CVPR 2020 Non-Line-of-Sight Surface Reconstruction Using the Directional Light-Cone Transform Sean I. Young, David B. Lindell, Bernd Girod, David Taubman, Gordon Wetzstein

CVPR 2019 Acoustic Non-Line-of-Sight Imaging David B. Lindell, Gordon Wetzstein, Vladlen Koltun

CVPR 2017 Reconstructing Transient Images from Single-Photon Sensors Matthew O'Toole, Felix Heide, David B. Lindell, Kai Zang, Steven Diamond, Gordon Wetzstein